generate_3d_model · Meshy Bottube MCP: Risk & Policy

WHAT IT DOES

What generate_3d_model does on Meshy Bottube

AI agents invoke generate_3d_model to trigger actions in Meshy Bottube. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why generate_3d_model needs a policy

The description is empty, so confidence is lowered. Based on the name and server context, this tool likely triggers an external 3D model generation process (calling Meshy API or similar), which constitutes executing an external operation. It may also involve writing/publishing content. Execute is chosen as the most appropriate category given it triggers external computational processes.

From the tool's definition Tool name 'generate_3d_model' and server description mentions generating 3D model turntable videos and publishing to BoTTube, implying external API calls and resource consumption.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

generate_3d_model Rate-limited

generate_3d_model stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "generate_3d_model": {
      "limits": [
        {
          "counter": "generate_3d_model_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Meshy Bottube, so you can run agents against it safely.

FAQ

Questions about generate_3d_model

What does the generate_3d_model tool do? +

generate_3d_model. It is categorised as a Execute tool in the Meshy Bottube MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on generate_3d_model? +

Register the Meshy Bottube MCP server in PolicyLayer and add a rule for generate_3d_model: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Meshy Bottube. Nothing to install.

What risk level is generate_3d_model? +

generate_3d_model is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit generate_3d_model? +

Yes. Add a rate_limit block to the generate_3d_model rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block generate_3d_model completely? +

Set action: deny in the PolicyLayer policy for generate_3d_model. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides generate_3d_model? +

generate_3d_model is provided by the Meshy Bottube MCP server (scottcjn/meshy-bottube-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.